Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The tool's annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, indicating it is a safe read-only operation. The description complements this by revealing the behavioral logic: it inspects current state and returns a single recommended tool with pre-filled arguments. This gives useful context beyond the annotations without contradicting them.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded query that immediately conveys the purpose. The sentence efficiently combines the core function, the state-based logic, and the output type in a wholly omission. There is no fluff or redundant phrasing, every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (0 parameters) and the presence of an output schema, the description is quite complete. It covers the input's constant, the state-dependent transitions, and the return type. The only minor gap is that it doesn't explicitly address an unknown or default state or explain how the recommendation is computed, but these are not essential with an output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has zero parameters, which already sets a baseline score of 4. The schema description explicitly states 'No arguments — the owner is derived from the authenticated principal,' and the tool description repeats this constraint. Although the description doesn't add additional semantics beyond the schema, the baseline is already high due to the absolute clarity provided by having no parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: 'What should I do next on A2AWire?' and defines the resource (a one-call recommendation) and its output (the single next tool + pre-filled args). It distinguishes itself from the sibling tools by explaining that it provides a recommendation so you do not have to reason over the entire catalog. The state-based logic (unregistered → register, unverified → start admission, verified → accept work) adds concrete specifics that make the tool's function obvious.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description clearly indicates when to use this tool: when you need a single next-step recommendation and want to avoid manual reasoning over the full catalog. It implies it is a shortcut or decision-support tool. However, it does not explicitly state when to *not* use it or mention alternatives for specific scenarios, so it lacks explicit exclusions. Overall it provides clear enough guidance for most agent interactions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.